Description

Define and execute the vision for next-generation autonomous networks, owning architecture design, AI/ML platform selection, and closed-loop automation systems.

This role is on-site.

Responsibilities

• Architect AI/ML-driven platforms for predictive maintenance, anomaly detection, and root-cause analysis.
• Lead the design of closed-loop automation systems that proactively predict failures and autonomously mitigate security threats.
• Define and own a multi-year roadmap for network autonomy, driving the transition from Infrastructure-as-Code to Intent-Based Networking.
• Standardize and govern telemetry, APIs, and data models (YANG, JSON, gNMI) across multi-vendor domains.
• Lead cross-functional teams of engineers and data scientists to operationalize autonomy at scale.

Required Skills

• Deep protocol-level knowledge of BGP, OSPF, MPLS, VXLAN, and SD-WAN.
• Expert proficiency in Python, Go, or C++ for software and automation.
• Hands-on experience applying AI/ML models to networking use cases (e.g., time series forecasting, anomaly detection).
• Strong experience with CI/CD pipelines and DevOps practices.
• Extensive use of Ansible and Terraform for network automation.
• Experience managing network functions in Kubernetes environments (CNI plugins).
• Hands-on exposure to public cloud networking across AWS, Azure, and GCP.
• 10+ years of experience in network engineering and architecture.

Preferred Skills

• Familiarity with ML frameworks such as TensorFlow or PyTorch.
• Experience with Digital Twins for network modeling, simulation, and optimization.

Key Skills

Education

Any Graduate